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A Modelling approach of Robustness Control for Regulation Systems with Temporal and non-Temporal Constraints through Petri Nets

DOI: 10.5923/j.control.20120205.01

Keywords: Petri Nets, Regulation, Interval Constraint Petri Nets, Tolerant System, Robust Control

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Abstract:

Quality regulation methodology was developed to control and improve the product and the performance evaluation in Discrete Event Systems (DES). The same particularity may be found on process where the associated constraints do not concern the time. Thus the objective of quality regulation system is to ensure that measure a product’s quality fall into ranges that are acceptable to prospective customers. The control must guarantee the values of the quality variable may or may not fall a random pattern within the limits specified. So a suitable model, rich in analytical properties, is necessary to synthesize the needed controller. The paper is related to the Discrete Events Systems Modelling. We propose a new approach to model the regulation quality systems under temporal and non-temporal constraints. The proposed approach is based on hybrid Petri Nets which combines Interval Constrained Petri Nets (ICPN) and P-temporal Petri Nets. These tools allow us to evaluate the quality variations and to manage the flow type disturbance. The approach is validated on an interesting large scale complex system (more precisely the application is related to a tobacco manufacturing system).

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